Estimating position and velocity of mobiles in a cellular radio network

Abstract

Abstract-Determining the position and velocity of mobiles is an important issue for hierarchical cellular networks since the efficient allocation of mobiles to large or microcells depends on its present velocity. In this paper, we suggest a method of tracing a mobile by evaluating subsequent signal-strength measurements to different base stations. The required data are available in the global system for mobile (GSM) system. The basic idea resembles multidimensional scaling (MDS), a well-recognized method in statistical data analysis. Furthermore, the raw data are smoothed by a linear regression setup that simultaneously yields an elegant, smoothed estimator of the mobile's speed. The method is extensively tested for data generated by the simulation tool GOOSE.

An Electromagnetic-Time Delay Method for Determining the Positions and Velocities of Mobile Stations in a GSM Network

“…Measurement of the signal power at the BTS has been used for locating a MS in mobile networks [1][2][3][4][5]. An empirical formula to model the received power is used to estimate the MS position, with no reference to the antenna radiation pattern or the altitude differences between the MS and BTS [1].…”

“…An empirical formula to model the received power is used to estimate the MS position, with no reference to the antenna radiation pattern or the altitude differences between the MS and BTS [1]. To get a model closer to the true picture of the MS to BTS communication link, an electric field strength based technique is introduced in the following formulation.…”

Urban Propagation Modeling for Wireless Systems

“…al. [35,36], suggest using databases of signal strength and propagation times from multiple base stations to estimate the position and velocity of mobile users.…”

“…Current radiolocation techniques are not viable solutions because they suffer from deviations of several hundred meters from the true mobile location when several multipath components exist [32,36,81]. Not only is this accuracy too imprecise to be used by the high-level handoff algorithms, such as the pattern recognition techniques proposed by Wong and Narasimhan [58,101], but the deviation in position is still much too large for determining an appropriate spatial averaging window.…”

A Mitigation of Multipath Ranging Error Using Non-linear Chirp Signal

“…In order to compensate for these GPS limitations in outdoor and indoor environments, many positioning methods have been proposed, using systems such as wireless local area networks (Wi-Fi), ultrasonic waves, cellular communication systems, and DTV sync signals with a time-ofarrival (TOA) scheme [5][6][7][8][9][10].…”